Research & Decision Science
Where forecasting research becomes operational decision infrastructure
RabbitHawk is built on peer-reviewed work in probabilistic forecasting, hierarchical reconciliation, optimization and applied AI, translated into systems that improve real decisions under real constraints.
- publications
- 1,181publications
- citations
- 53,485citations
- highly cited papers
- Top 1%highly cited papers
Scientific foundations
Methods proven in the literature, applied in production
Our team’s research is recognized at the field’s leading venues and used at scale by major organizations. We bring that rigor to enterprise planning, but judge every method by whether it improves decisions in practical settings.
Research → product
| Research area | Enterprise problem | RabbitHawk capability |
|---|---|---|
| Hierarchical forecasting | Local plans do not add up to executive targets | Reconciled forecasts across every level |
| Probabilistic forecasting | Point forecasts hide risk | Full predictive distributions, intervals and scenario ranges |
| Optimization | Forecasts do not tell teams what to do | Constraint-aware recommendations |
| Agentic AI | Context is trapped in emails and notes | Context ingestion and decision agents |
| Human-in-the-loop AI | Automation without trust creates resistance | Approval, override and audit trails |
| Alignment science | Teams optimize against conflicting goals | 90North alignment and goal clarity |
Hierarchical forecasting
Local plans do not add up to executive targets
Reconciled forecasts across every level
Probabilistic forecasting
Point forecasts hide risk
Full predictive distributions, intervals and scenario ranges
Optimization
Forecasts do not tell teams what to do
Constraint-aware recommendations
Agentic AI
Context is trapped in emails and notes
Context ingestion and decision agents
Human-in-the-loop AI
Automation without trust creates resistance
Approval, override and audit trails
Alignment science
Teams optimize against conflicting goals
90North alignment and goal clarity
Selected publications
The full peer-reviewed database: search by title, author, venue, category or year.
1,181 results · page 28 of 99
2020
Simulation and optimisation of air conditioning systems using machine learning
R Godahewa, C Deng, A Prouzeau, C Bergmeir
arXiv preprint arXiv:2006.15296, 2020
Machine Learning10 citationsBounded suboptimal path planning with compressed path databases
S Zhao, M Chiari, A Botea, AE Gerevini, D Harabor, A Saetti, PJ Stuckey
Proceedings of the International Conference on Automated Planning and …, 2020
Optimization10 citations- Forecasting8 citations
Forecasting functions for time series and linear models. R package.(8.12; p. 1)
R Hyndman, G Athanasopoulos, C Bergmeir, G Caceres, L Chhay, ...
Forecasting8 citationsModelling and solving online optimisation problems
A Ek, MG de la Banda, A Schutt, PJ Stuckey, G Tack
Proceedings of the AAAI Conference on Artificial Intelligence 34 (02), 1477-1485, 2020
Research8 citationsRisk-Aware Conditional Replanning for Globally Constrained Multi-Agent Sequential Decision Making
F de Nijs, PJ Stuckey
Proceedings of the 19th International Conference on Autonomous Agents and …, 2020
Machine Learning7 citationsForecast: forecasting functions for time series and linear models. R package 8.12
R Hyndman, G Athanasopoulos, C Bergmeir, G Caceres, L Chhay, ...
Forecasting6 citationsTeaching constraint programming using fable-based learning
M Chan, C Chun, H Fung, JHM Lee, PJ Stuckey
Proceedings of the AAAI Conference on Artificial Intelligence 34 (09), 13366 …, 2020
Machine Learning6 citationsGaussian embedding of large-scale attributed graphs
B Hettige, YF Li, W Wang, W Buntine
Australasian database conference, 134-146, 2020
Research6 citationsPackage ‘forecast.’Online] https
RJ Hyndman, G Athanasopoulos, C Bergmeir, G Caceres, L Chhay, ...
Forecasting5 citationsDivide and learn: A divide and conquer approach for predict+ optimize
AU Guler, E Demirovic, J Chan, J Bailey, C Leckie, PJ Stuckey
arXiv e-prints, arXiv: 2012.02342, 2020
Research5 citationsExplaining propagators for string edit distance constraints
F Winter, N Musliu, P Stuckey
Proceedings of the AAAI Conference on Artificial Intelligence 34 (02), 1676-1683, 2020
Machine Learning5 citations
Learn the science behind the engine
“Forecasting for Data Scientists”, a free 30-chapter video course by co-founder Dr Christoph Bergmeir, from fundamentals to advanced deep learning.